Author(s)

Jingjing Wang

Corresponding Author

Jingjing Wang

Abstract

This article focuses on the difficult problem of marketing strategy formulation of e-business platform in digital competition environment, aiming at exploring the intelligent decision-making method of marketing strategy driven by real-time data, and providing scientific and effective marketing decision support for e-business industry. This article systematically sorts out the relevant theoretical basis of e-business platform operation, real-time data and so on, and clarifies the key elements such as real-time data collection, preprocessing and intelligent decision-making model construction. Moreover, this article constructs an intelligent decision-making framework based on real-time data, and uses collaborative filtering, deep learning, decision tree and other intelligent algorithms to formulate decision-making methods for different marketing scenarios such as product recommendation and promotion activities. The intelligent decision-making method system can make full use of real-time data, accurately analyze market and user needs, and realize scientific formulation and dynamic optimization of marketing strategy. Therefore, the intelligent decision-making method driven by real-time data can effectively improve the marketing efficiency and competitiveness of e-business platform, and provide a feasible path for e-business industry to move towards intelligent marketing.

Keywords

E-Business Platform; Real Time Data; Marketing Strategy; Intelligent Decision-Making